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PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Evolutionary Strategies for PyTorch
A pytorch implementation of the NEAT (NeuroEvolution of Augmenting Topologies) algorithm
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Rainbow: Combining Improvements in Deep Reinforcement Learning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Minimal and Clean Reinforcement Learning Examples
PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Simple tools for statistical analyses in RL experiments
Structural implementation of RL key algorithms
RLgraph: Modular computation graphs for deep reinforcement learning
Collection of reinforcement learning algorithms
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
Reinforcement Learning in PyTorch
RoboGrammar: Graph Grammar for Terrain-Optimized Robot Design (SIGGRAPH Asia 2020)
An educational resource to help anyone learn deep reinforcement learning.
Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
PyTorch version of Stable Baselines, improved implementations of reinforcement learning algorithms.
sketch + style = paints :art: (TOG2018/SIGGRAPH2018ASIA)
Supysonic is a Python implementation of the Subsonic server API.
Hyperparameter Optimization for Keras Models
Repository for Code
TensorFlow Eager implementation of NEAT and Adaptive HyperNEAT
Tensorforce: A TensorFlow library for applied reinforcement learning
Tinder App Clone
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.